Nbr-net: A nonrigid bidirectional registration network for multitemporal remote sensing images

Y Xu, J Li, C Du, H Chen - IEEE Transactions on Geoscience …, 2022 - ieeexplore.ieee.org
Remote sensing image registration is the basis of change detection, environmental
monitoring, and image fusion. Under severe appearance differences, feature-based …

LaneCorrect: Self-supervised Lane Detection

M Nie, X Cai, H Xu, L Zhang - arXiv preprint arXiv:2404.14671, 2024 - arxiv.org
Lane detection has evolved highly functional autonomous driving system to understand
driving scenes even under complex environments. In this paper, we work towards …

Robust Object Detection in Remote Sensing Imagery with Noisy and Sparse Geo-Annotations (Full Version)

M Bernhard, M Schubert - arXiv preprint arXiv:2210.12989, 2022 - arxiv.org
Recently, the availability of remote sensing imagery from aerial vehicles and satellites
constantly improved. For an automated interpretation of such data, deep-learning-based …

Enhanced Automated Quality Assessment Network for Interactive Building Segmentation in High-Resolution Remote Sensing Imagery

Z Zhang, X Hu, J Xu - arXiv preprint arXiv:2401.09828, 2024 - arxiv.org
In this research, we introduce the enhanced automated quality assessment network (IBS-
AQSNet), an innovative solution for assessing the quality of interactive building …

Multi-temporal Satellite Imagery Panoptic Segmentation of Agricultural Land in Ukraine

M Petruk - 2022 - er.ucu.edu.ua
Remote sensing of the Earth using satellites helps analyze the Earth's resources, monitor
local land surface changes, and study global climate changes. In particular, farmland …

Robust object detection in remote sensing imagery with noisy and sparse geo-annotations

M Bernhard, M Schubert - … of the 30th International Conference on …, 2022 - dl.acm.org
Recently, the availability of remote sensing imagery from aerial vehicles and satellites
constantly improved. For an automated interpretation of such data, deep-learning-based …